Autor: Srinivasa Rao, Ch. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: AHP and TOPSIS based selection of aluminium alloy for automobile panels
Autorzy:: Swapna, D.
Srinivasa Rao, Ch.
Kumar, D. S.
Radhika, S.
Powiązania:: https://bibliotekanauki.pl/articles/95279.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: material selection
MADM methods
AHP
TOPSIS
aluminium alloys
dobór materiałów
metody MADM
stopy aluminium
Opis:: Automotive industry is a very attractive area for young researchers to do continuous research and also it can be considered as an important thrust area as it is directly related to passenger safety. New developments in automotive sector can be seen in many domains like material selection, design, manufacturing etc. Since wrong selection directly leads to product failure, among these, the proper selection of a particular material can be treat as utmost priority. Hence, the present work discusses a methodology to select the best aluminium alloy for automobile panels among various alternates serving the same purpose. Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods with entropy weighting criteria are implemented for finding the best material and the results are discussed.
Źródło:: Journal of Mechanical and Energy Engineering; 2019, 3, 1; 43-50
2544-0780
2544-1671
Pojawia się w:: Journal of Mechanical and Energy Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Localization of Copy-Move Forgery in Speech Signals Through Watermarking Using DCT-QIM
Autorzy:: Lalitha, N.V.
Rao, Ch. Srinivasa
Jaya-Sree, P.V.Y.
Powiązania:: https://bibliotekanauki.pl/articles/227242.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: watermarking
copy-move forgery
discrete Cosine
transform
quantization index modulation
hash bits
Opis:: Digital speech copyright protection and forgery identification are the prevalent issues in our advancing digital world. In speech forgery, voiced part of the speech signal is copied and pasted to a specific location which alters the meaning of the speech signal. Watermarking can be used to safe guard the copyrights of the owner. To detect copy-move forgeries a transform domain watermarking method is proposed. In the proposed method, watermarking is achieved through Discrete Cosine Transform (DCT) and Quantization Index Modulation (QIM) rule. Hash bits are also inserted in watermarked voice segments to detect Copy-Move Forgery (CMF) in speech signals. Proposed method is evaluated on two databases and achieved good imperceptibility. It exhibits robustness in detecting the watermark and forgeries against signal processing attacks such as resample, low-pass filtering, jittering, compression and cropping. The proposed work contributes for forensics analysis in speech signals. This proposed work also compared with the some of the state-of-art methods.
Źródło:: International Journal of Electronics and Telecommunications; 2019, 65, 3; 527-532
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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